MCP server that scores Git risk before you merge — repo health, commit scoring, PR analysis & branch comparison, 100% offline, zero API keys

Policy-as-code enforcement for AI agents: MCP server, CEL policies, git hooks, SARIF, and static analysis guardrails.

MCP server: searchable access to any Git repo for AI assistants — symbols, dependency graphs, architecture analysis for 12 languages

MCP server demonstrating Bob's capabilities with 9 specialized tools for file operations, code analysis, and git operations

Zero-dependency Model Context Protocol (MCP) server for deep Git archaeology, churn hotspots, and co-change analysis

MCP server for local Git repository intelligence — commit summaries, changelogs, blame analysis, branch health

MCP server for local Git repository intelligence — commit summaries, changelogs, blame analysis, branch health, and semantic diffs

MCP server for local Git repos: commit log, diff viewer, blame, repository statistics, branch analysis Install: npx @rog0x/mcp-git-tools

150-tool MCP server for codebase analysis — dependency graphs, architecture layers, security scanning, refactor plans, git history, and more. Works with GitHub and GitLab repos (cloud + self-hosted) and local directories.

Your AI-powered coding companion for Claude Desktop. MCP server with 23+ dev tools for file operations, git integration, code analysis, and more. Works with any project on your system.

Agent Skills + MCP servers for AI coding agents (Claude Code, GitHub Copilot, Codex, Cursor, Gemini CLI): bug analysis, regression tracing with git bisect, proven fixes, security audit, APK reverse engineering, ticket reading.

Give your AI coding agent superpowers over git history — changelogs, commit analysis, blame attribution, and release notes via MCP. Zero runtime deps.

A comprehensive Model Context Protocol (MCP) Server that provides advanced git analysis and documentation tools, including powerful commit, Excel, XML, YAML and JSON search capabilities. Designed to be used as a Copilot Agent in VS Code for comprehensive repository analysis and documentation generation.

MCP server for AI-powered code archaeology — git blame, file history, contributor patterns, and related change analysis

Persistent memory for AI coding — semantic search, git history analysis, and intelligent context preservation

MCP server that detects semantic (non-textual) merge conflicts between Git branches using AST-level analysis

Policy-as-code enforcement for AI agents with MCP, CEL, Git hooks, SARIF, and static-analysis guardrails.

MCP server providing git/repo tools for AI-powered PR impact analysis

Code intelligence CLI — function-level dependency graph across 34 languages, 34-tool MCP server for AI agents, complexity metrics, architecture boundary enforcement, CI quality gates, git diff impact with co-change analysis, hybrid semantic search. Fully local, zero API keys required.

Modular Python coding and agent platform — LLM agents, graph RAG, static analysis, git ops, cloud and container deployment, all exposed as Model Context Protocol tools. uv-managed, with a zero-mock test suite.

MCP server for AI coding agents. Instead of reading files one by one, your agent gets dependency graphs, git intent, blast radius, and change health in a single call. Works with any language deep analysis for TypeScript,Java, Go, and C#.

MCP server for real-time GitHub code search and reuse. FTS5 full-text index + Bing fallback + bonus requirements analysis Agent. Zero git clone, zero vector DB, only 1 dependency.

Deep code indexing MCP server for AI agents. 25 tools: hybrid FTS5 + embedding search, call graphs, git blame/hotspots, build system analysis. Multi-repo workspaces, GPU-accelerated semantic search, 10 languages via tree-sitter. Fully local, zero cloud dependencies.

Map every feature and user flow in a codebase from git history and code structure. No Jira, no annotations. Bug hotspots, health scores, symbol-level attribution and an MCP server for AI coding agents.

MCP server for analyzing outstanding git changes in repositories

Catch broken merges between parallel AI coding agents (Claude Code, Codex, cmux, Orca, git worktree). Combines worktree branches, checks conflicts and contract breaks, runs affected tests. Local CLI + MCP server.

個人開発の技術記事と再現コード。ローカルMCP・Git・Python・RSSを、手元で試せる例と検証結果で共有。Zenn連携。

Deterministic change-impact analysis for engineers and coding agents.

The Memory Your AI Lacks - MCP server giving AI Senior Developer Intuition through git forensics

A Git intelligence MCP server built with Node.js and TypeScript that analyzes local Git repositories to surface insights like hotspots, churn, temporal coupling, knowledge maps, and risk scoring. Designed for AI agents, it exposes repository analytics tools through the Model Context Protocol (MCP) while keeping all data local and read-only.

Local-first repository intelligence and task context for coding agents

Reads the conventions your repository already keeps, with a count behind every claim. Never blocks.

Local project memory for AI coding agents: code graphs, Git history, and discussions with cited context through MCP, a Python SDK, and CLI.

AI-powered MCP server for codebase navigation and LLM prompt optimization

Deterministic, local-first change-impact analysis for Python, JavaScript, and TypeScript—trace blast radius, suggest tests, and gate risky PRs.

See how your code fits together, even as agents keep changing it. A zoomable, evidenced map of your repository: every flow, its Git history and blast radius, explained over MCP.

CodeCompass: AI-powered Vibe Coding with MCP. Connects Git repositories to AI assistants like Claude, using Ollama for privacy or OpenAI for cloud. Integrates with VSCode, Cursor, and more.

ls for diffs: a folder-scoped, read-only side-by-side diff viewer - terminal, desktop GUI, --json and an MCP server for AI agents

A robust, production-ready Model Context Protocol (MCP) server that empowers AI agents with deep understanding and manipulation capabilities for software repositories. It inclued crucial tools for code quality and safety.

Stops your AI coding agent from writing calls to functions that don't exist, before the edit lands. Deterministic, no LLM, no API keys.

A test selector that says when it doesn't know. Names the user journeys a diff could break, runs their tests, and refuses to report green it can't back up.

Keep code understandable. The evidence layer between the agents that write code and the people who stand behind it: where to look first, who can look, what a change did to the structure and what nobody maintains. Offline, zero dependencies, with the evidence for every claim.

Finds the lines in your docs that a code change made wrong, and proves each one, with a fix you approve. Measured on changes planted in 30 real Python projects and on their real history. A command, a GitHub Action, and an MCP server; no AI unless you ask.

A screen ↔ endpoint ↔ field dependency map: answers which screens break if you change an endpoint or a response field. Local-first, git-friendly, open source.

A living architecture map of any codebase, derived from its import graph and commit history: what depends on what, what changes together, and who knows the part you are about to touch. A VS Code extension and an MCP server. Nothing to write, nothing to keep up to date.

Native MCP for coding agents: 43 read-only repository-intelligence tools with typed evidence, impact, architecture, APIs, Git, search, semantics, and memory.

Akıllı Dosya ve Proje Yönetim MCP Server - AI asistanlarının proje analizi, kod metrikleri, dokümantasyon ve Git işlemlerini yönetebileceği kapsamlı bir Model Context Protocol server

Akıllı Dosya ve Proje Yönetim MCP Server - AI asistanlarının proje analizi, kod metrikleri, dokümantasyon ve Git işlemlerini yönetebileceği kapsamlı bir Model Context Protocol (MCP) server.

git log for Wikipedia: see how a page's sentences, citations, and structure changed, revision by revision

Your codebase companion for JavaScript/TypeScript, in the browser, the terminal and your AI agent: a live dependency map, impact and call sites, affected tests and patch coverage, review order, new-only CI gates (SARIF, GitLab), git hooks, a status line a

MCP server: any local git repo becomes codebase memory - commits, files, symbols and a call graph in SQLite, queried over stdio. 100% local, zero-setup via uvx.

🚀 MCP GitHub Repository Creator - A Model Context Protocol server that provides tools for AI applications like GitHub Copilot to automatically analyze repositories and create GitHub repositories. Features repository analysis, topic management, automated setup, and seamless integration with MCP-compatible AI clients.

Native repository intelligence for coding agents: 66 MCP operations backed by typed evidence graphs, impact, architecture, local CI restrictions, APIs, Git, search, semantic links, n8n workflows, Dify apps, agent packages, Mermaid diagrams, and Web3 ABIs.

Root cause in seconds. Evidence, not intuition. Analyzes 24 frameworks (Playwright, Jest, Cypress, pytest, Go, RSpec, and more) by tracing git history, logs, and config with a 10-phase pipeline. No guesses, no fixture noise.

GRASP — Code architecture visualizer + 150-tool MCP server. Dependency graphs, security scanning, multimodal knowledge graph, ORM tracking, git change impact, graph schema v3. Works with GitHub, GitLab & local dirs. 35 languages. Zero data collection.

Framework-aware code intelligence for LLM agents. Indexes Java, Python, TypeScript, Go, Scala into a verified call graph via tree-sitter + Rust. MCP server, Haiku sub-agent, and git hooks included. 68–95% agent token reduction.

Understand what your codebase builds, why it is structured that way, and what a change could affect. One shared Markdown ontology for humans and coding agents—visualized for people, accessible to agents through MCP, and reviewed with Git. Local-first. Open source.